| EFV | ICOW | EFV / ICOW | |
| Gain YTD | 39.356 | 37.354 | 105% |
| Net Assets | 27.7B | 1.43B | 1,942% |
| Total Expense Ratio | 0.31 | 0.65 | 48% |
| Turnover | 3.90 | 79.00 | 5% |
| Yield | 3.24 | 2.01 | 161% |
| Fund Existence | 20 years | 9 years | - |
| EFV | ICOW | |
|---|---|---|
| RSI ODDS (%) | 3 days ago 70% | 3 days ago 73% |
| Stochastic ODDS (%) | 3 days ago 86% | 3 days ago 88% |
| Momentum ODDS (%) | 3 days ago 86% | 3 days ago 75% |
| MACD ODDS (%) | 3 days ago 82% | 3 days ago 70% |
| TrendWeek ODDS (%) | 3 days ago 82% | 3 days ago 83% |
| TrendMonth ODDS (%) | 3 days ago 80% | 3 days ago 81% |
| Advances ODDS (%) | 3 days ago 84% | 3 days ago 83% |
| Declines ODDS (%) | 10 days ago 78% | 10 days ago 72% |
| BollingerBands ODDS (%) | 3 days ago 78% | N/A |
| Aroon ODDS (%) | 3 days ago 80% | 3 days ago 83% |
A.I.dvisor indicates that over the last year, EFV has been closely correlated with SAN. These tickers have moved in lockstep 77% of the time. This A.I.-generated data suggests there is a high statistical probability that if EFV jumps, then SAN could also see price increases.
A.I.dvisor indicates that over the last year, ICOW has been closely correlated with BHP. These tickers have moved in lockstep 70% of the time. This A.I.-generated data suggests there is a high statistical probability that if ICOW jumps, then BHP could also see price increases.
| Ticker / NAME | Correlation To ICOW | 1D Price Change % | ||
|---|---|---|---|---|
| ICOW | 100% | +0.13% | ||
| BHP - ICOW | 70% Closely correlated | -0.34% | ||
| SHEL - ICOW | 69% Closely correlated | -0.31% | ||
| MT - ICOW | 69% Closely correlated | -0.13% | ||
| TTE - ICOW | 67% Closely correlated | -0.71% | ||
| RIO - ICOW | 65% Loosely correlated | -0.10% | ||
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